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Company profile

DATAECONOMY Tech Stack

Cloud data and AI consultancy building lakehouse and LLM solutions

Information Technology & Services Dublin, Ohio 201–500 employees Founded 2018 Privately Held

DATAECONOMY is a cloud-first data and AI consultancy whose stack pairs lakehouse tooling (Databricks, Snowflake, Apache Iceberg) with a generative AI layer of Amazon Bedrock, LangGraph, LangChain and pgvector. Active projects in multi-agent orchestration, LLM fine-tuning and MLOps show delivery shifting from classic data engineering toward production AI. Senior-heavy, accelerating hiring across data and engineering in India and the US backs that shift.

Tech Stack 177 technologies

Core StackTableau Python Jira Confluence LangChain AWS Lambda AWS DynamoDB Snowflake Snowflake Cortex PostgreSQL Talend Apache Iceberg Databricks Amazon SageMaker Docker Kerberos OpenID Connect Amazon Bedrock LangGraph OpenSearch pgvector AWS ECS AWS EKS API Gateway Azure Denodo Hugging Face Transformers Hugging Face Datasets PEFT+143 more

What DATAECONOMY Is BuildingChallenges and projects from their job posts

◆Challenges

  • Cloud cost optimization and security concerns
  • Trade lifecycle process gaps and reconciliation automation
  • Latency and reliability challenges
  • Backup integrity and disaster recovery planning

▲Active Projects

  • Bronze/silver/gold ingestion with Databricks ETL/ELT pipelines
  • LLM fine-tuning with production serving infrastructure
  • Multi-agent orchestration pipelines
  • MLOps pipelines and model evaluation framework
  • Reference architectures for AI adoption

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Data
7
Engineering
6
Finance
1

Seniority

Senior
11
Mid
2
Lead
1
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About DATAECONOMY

DATAECONOMY is a privately held data and AI consultancy founded in 2018 and headquartered in Dublin, Ohio. It delivers enterprise work in data and BI platform modernization, data governance, master data management, data mesh and fabric architectures, cloud enablement and digital engineering, supported by its own IP suite. Delivery spans AWS and Azure, with Databricks, Snowflake, Talend and Denodo as core platforms. The firm has 201–500 employees and staffs teams in the United States and India. Project themes point to clients in financial services, including trade lifecycle and reconciliation work.

HeadquartersDublin, Ohio
Company Size201–500 employees
Founded2018
Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does DATAECONOMY use?

DATAECONOMY works with Databricks, Snowflake, Apache Iceberg, Talend, Denodo, Python, PostgreSQL and AWS services, plus Amazon Bedrock, LangChain, LangGraph, pgvector and Hugging Face for AI work.

Is DATAECONOMY hiring data engineers?

Yes. Hiring is accelerating and concentrated in data and engineering, mostly at senior level, with roles in India and the United States.

What is DATAECONOMY working on?

Current work includes medallion-layer data ingestion and Databricks ETL/ELT pipelines, multi-agent orchestration, LLM fine-tuning and deployment, MLOps pipelines and model evaluation frameworks.

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How this profile is built

DATAECONOMY's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.